Instructions to use google/t5-v1_1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-v1_1-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-v1_1-base") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e713c8347d0a1cceea30603118d75c8634ee09747def6a3ca0ae2765c52de9e
- Size of remote file:
- 991 MB
- SHA256:
- dda737bfc489aa0a81619c4f3bb42768e777dd55197127662cef4afb60cbec5d
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